Model-based soft sensors can enhance online monitoring in wastewater treatment processes. These soft sensor scripts are executed either locally on a programmable logic controller (PLC) or remotely on a system with data-access over the internet. This work presents a cost-effective, flexible, open source IoT solution for remote deployment of a soft sensing algorithm. The system uses low-priced hardware and open-source programming language to set up the communication and remote-access system. Advantages of the new IoT architecture are demonstrated through a case study for remote deployment of an Extended Kalman Filter (EKF) to estimate additional water quality parameters in a multistage moving bed biofilm reactor (MBBR) plant. The soft-sensor results are successfully validated against standardised laboratory measurements to prove their ability to provide real-time estimations.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2166/wst.2020.067 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices.
Bioengineering (Basel)
January 2025
Department of Software Technology, Konkuk University, Chungju 27478, Republic of Korea.
The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for medical edge device deployment. The model reduces computational overhead while maintaining high detection accuracy by replacing the computationally intensive ResNet backbone with MobileNet and leveraging depthwise separable convolutions.
View Article and Find Full Text PDFA simple and integrated fiber-optic real-time qPCR platform for remote and distributed detection of epidemic virus infection.
Biosens Bioelectron
January 2025
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, 510632, China; College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, 510632, China. Electronic address:
Quantitative polymerase chain reaction (qPCR) is a well-recognized technique for amplifying and quantifying nuclear acid, and its real-time monitoring capability, ultrahigh sensitivity, and accuracy make it a "golden-standard" tool in both molecular biology research and clinical diagnostics. However, current qPCR tests rely on bulky instrumentation and skilled laboratorians in centralized laboratories, which spatially and temporally separate the sample collection and test, leading to longer sample turnaround times (TATs) and limited working conditions. Herein, we propose an integrated optical fiber real-time polymerase chain reaction (iF-PCR) system that successfully allows convenient sample collection, rapid thermocycling, closed-loop thermal annealing, and real-time fluorescence detection in a tiny capillary reactor.
View Article and Find Full Text PDFSpiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer.
Neural Netw
January 2025
Tsinghua University, Beijing, China. Electronic address:
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However, most existing ANN-based methods require substantial computing resources, which poses challenges for effective deployment on mobile devices. Spiking neural networks (SNNs), on the other hand, hold immense potential for energy-efficient deep learning owing to their binary and event-driven architecture.
View Article and Find Full Text PDF[The challenges of new digital technologies on the Moroccan health system : Case of the cardiology departement -B- University Hospital Center Ibn Sina Rabat].
Ann Cardiol Angeiol (Paris)
February 2025
Faculte des Sciences Juridiques, Economiques et Sociales, Département d'Economie et de Gestion, Souissi, Rabat, Maroc.
Introduction: We live in the era of information technology (IT) innovations in the health sector, this has led to the appropriation of new organizational models which are profoundly changing the practice of medicine. Our study aims to determine the challenges of new digital technologies in the Moroccan health system, the case of the cardiology department - B - of the Ibn Sina University Hospital Center.
Materials And Methods: This is a single-center observational descriptive-analytical study carried out at the level of the cardiology department - B- for 6 months, from September 1, 2022.
Multi-Objective Optimization for Resource Allocation in Space-Air-Ground Network with Diverse IoT Devices.
Sensors (Basel)
January 2025
College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
As the Internet of Things (IoT) expands globally, the challenge of signal transmission in remote regions without traditional communication infrastructure becomes prominent. An effective solution involves integrating aerial, terrestrial, and space components to form a Space-Air-Ground Integrated Network (SAGIN). This paper discusses an uplink signal scenario in which various types of data collection sensors as IoT devices use Unmanned Aerial Vehicles (UAVs) as relays to forward signals to low-Earth-orbit satellites.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!